political-bias-classifier

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📖 Model Description

The political-bias-classifier is a fine-tuned DistilBERT model designed for text classification to identify and categorize political bias within a given text.

This model is intended to analyze the political leaning expressed in textual content, such as news headlines, articles, or social media commentary.

Detail	Value
Base Model	DistilBERT
Model Type	Text Classification (Sequence Classification)
Weights Format	Safetensors (model.safetensors)
License	Apache-2.0
File Size	~268 MB

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🚀 Usage

You can easily use this model for inference with the Hugging Face transformers library.

Using the Pipeline

The simplest way to get a prediction is by using the pipeline abstraction:

from transformers import pipeline

# Initialize the classifier pipeline
classifier = pipeline(
    "text-classification", 
    model="Arstacity/political-bias-classifier"
)

# Example text for analysis
text_to_analyze = "The new trade bill is a crucial step towards economic growth, despite the opposition's claims of cronyism."

# Get the prediction
result = classifier(text_to_analyze)

print(result)
# Example Output Format (Actual labels and scores will vary): 
# [{'label': 'RIGHT_LEANING', 'score': 0.9542}]

Direct Model Loading

For more control, you can load the tokenizer and model directly:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model_name = "Arstacity/political-bias-classifier"

# Load the tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_name)

# Load the model
model = AutoModelForSequenceClassification.from_pretrained(model_name)

# You are now ready to perform tokenization and inference.

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Files in Repository

This repository contains all the necessary files for the DistilBERT model and tokenizer:

File Name	Description
model.safetensors	The main model weights file (268 MB).
config.json	Configuration file for the model architecture
vocab.txt	Vocabulary file for the tokenizer
tokenizer.json	The tokenizer configuration file
tokenizer_config.json	Tokenizer metadata
special_tokens_map.json	Mapping for special tokens.

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License: Apache 2.0